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DBMS > Apache Doris vs. Apache Druid vs. Drizzle vs. IBM Cloudant vs. Quasardb

System Properties Comparison Apache Doris vs. Apache Druid vs. Drizzle vs. IBM Cloudant vs. Quasardb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonQuasardb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Database as a Service offering based on Apache CouchDBDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#108  Relational DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score2.73
Rank#108  Overall
#20  Document stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orgwww.ibm.com/­products/­cloudantquasar.ai
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designcloud.ibm.com/­docs/­Cloudantdoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014quasardb
Initial release20172012200820102009
Current release1.2.2, February 202329.0.1, April 20247.2.4, September 20123.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2Open Source infoGNU GPLcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++ErlangC++
Server operating systemsLinuxLinux
OS X
Unix
FreeBSD
Linux
OS X
hostedBSD
Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLyesSQL for queryingyes infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
JDBCRESTful HTTP/JSON APIHTTP API
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnonoView functions (Map-Reduce) in JavaScriptno
Triggersnonono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basedShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trail

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More resources
Apache DorisApache DruidDrizzleIBM CloudantQuasardb
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